Staff Platform Engineer, AI

🕒 May 1

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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Agiloft

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1991

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $45M Private Equity Round on 2020-08

Enterprise • SaaS • Artificial Intelligence

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

📋 Description

• Build and maintain software applications in our suite of enterprise software products • Work with product managers and designers to brainstorm bottom-up solutions to novel problems • Collaborate with AI engineers to efficiently utilize commercial large language model (LLM) APIs • Continuously improve the code quality, extensibility, scalability, and test coverage of software projects • Make architecture and cloud-engineering decisions in conjunction with other engineers • Develop and improve infrastructure-as-code stacks, CI/CD pipelines, and monitoring/observability tools • Improve internal developer tools, workflows, and best practices to enhance team efficiency • Provide consistent feedback to management regarding the quality of the team, the state of the tech stack, and relationships with stakeholders • Troubleshoot and resolve complex issues across the entire application stack • Mentor junior team members • Participate in incident response and disaster recovery efforts • Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities • Other duties as assigned

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience) • Minimum of 8 years of professional experience as a software engineer • Minimum of 3 years in a tech lead, architecture lead, or management role • Comfortable working with Python in core application code • Experience building modern, cloud-native applications using serverless technology (API Gateway, Lambda, DynamoDB, or similar) • Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience • Strong problem-solving, collaboration, teamwork and communication skills • Eagerness to learn and adapt to new technologies and tools • Proficiency in using relevant AI Tools in the SLDC (Cursor, GitHub Copilot) coding, and/or API integrations • Deep understanding of: • Version control systems (Git) • Relational databases and data modeling (Postgres preferred) • Infrastructure as Code in AWS (CloudFormation, SAM) • RESTful API design and documentation • CI/CD tools such as GitHub Actions or similar • Containerization and orchestration (Docker, ECS) • Enterprise-scale cloud engineering in AWS • Modern software development lifecycle on an agile product team

🏖️ Benefits

• Floating holidays • Quarterly no-questions-asked wellness day